Research Associate, Quantitative Developer

The role involves owning the end-to-end data lifecycle for systematic macro and long/short equity strategies, including sourcing, ingestion, validation, transformation, and delivery into research and production systems. Responsibilities include identifying new datasets, building robust data pipelines, implementing data quality checks, and designing data schemas in collaboration with researchers and developers. Candidates need 1-5 years of experience as a Data Engineer, ideally embedded with systematic investment teams or in a high-scale data environment, requiring strong proficiency in Python and SQL. Essential qualifications include experience with modern data platforms, workflow orchestration tools, and the ability to reason about data correctness and lineage in environments where errors have material impact.